• Design, develop, and maintain AI-driven applications using Python  • Build, train, test, and optimize machine learning and deep learning models  • Integrate AI/ML models into production systems and APIs  • Work with structured and unstructured data for model development and analysis  • Collaborate with product, backend, and data teams to deliver AI-based features  • Improve model accuracy, performance, and scalability • Write clean, maintainable, and efficient code  • Monitor and troubleshoot deployed AI solutions  • Stay updated with the latest AI, machine learning, and Python development trends  • Build and orchestrate multi-agent systems using LangGraph or similar frameworks  • Design and implement prompt engineering strategies for Agentic systems  • Optimize LLM usage costs through semantic caching and efficient prompt design  • Work with persistence/caching layers for agent state management